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SUMMARY:Automatic Rule-Based Generation of Items for Intelligence Tests an
 d Probability Word Problems - Prof. Dr. Heinz Holling\, University of Muen
 ster
DTSTART:20120510T130000Z
DTEND:20120510T140000Z
UID:TALK37143@talks.cam.ac.uk
CONTACT:Luning Sun
DESCRIPTION:Automatic rule-based generation of items is a promising method
  for item cloning that saves a considerable amount of time and money. Item
 s are grouped in families that are created through the application of comm
 on rules and cloned from the same parent item. Within a family\, the items
  are assumed to differ only in surface features. Infinitely many items may
  be developed on the fly\, especially suited for adaptive testing. Only th
 e item families have to be calibrated\, content validity and test quality 
 criteria of item response models are usually increased. In this presentati
 on\, a short overview of the generation of rule-based items is given. Soft
 ware programs will be shown which adaptively generate tailor-made test ite
 ms of intelligence and probability word problems. Optimal test designs and
  hierarchical item response models for rule-based generated items will be 
 introduced. Results from several empirical studies show a good fit to thes
 e item response models. Practical implications of these findings for futur
 e test development in the assessment of intelligence and probability compe
 tencies are discussed.
LOCATION:Seminar Room\, The Mond Building\, New Museums Site
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